Engineer, AI

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This role develops and refines artificial intelligence (AI) models to improve customer service automation capabilities. It involves applying prompt engineering, fine-tuning, and creating AI tools to optimize AI system performance. The role designs sophisticated AI systems to enhance interaction capabilities within complex service workflows. Success is measured by the effective integration and functionality of AI systems that advance organizational goals. The work impacts the organization by improving operational efficiency and customer satisfaction through AI-driven improvements. Job Responsibilities : Develop AI models to enhance customer service automation capabilities with measurable improvements Apply prompt engineering and fine-tuning techniques to optimize AI system performance effectively Create AI tools that support integration of AI-driven improvements into operational frameworks Collaborate with cross-functional teams to ensure effective integration and functionality of AI systems Design AI systems that improve interaction capabilities within complex service workflows Contribute to strategic AI initiatives that advance organizational goals of customer satisfaction and efficiency Also responsible for other duties/projects as assigned by business management as needed Education and Work Experience : Bachelor's Degree plus 3 years of related work experience OR advanced degree with 1 year of related work experience OR combination of education and experience deemed equivalent (Required) Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, Data Science, or Related Field (Preferred) 2-4 years Developing and deploying machine learning models, including fine-tuning and prompt engineering (Preferred) 2-4 years Experience with AI tools and software development using programming languages such as Python or R (Preferred) 2-4 years Collaborating with cross-functional teams to integrate AI solutions into business workflows (Preferred) Knowledge, Skills and Abilities : Cloud Computing (Required) Collaboration (Required) Customer-Focused (Required) Data Analysis (Required) Data Management (Required) Data Modeling (Required) Model Tuning (Required) Prompt Engineering (Required) Licenses and Certifications : Certified Analytics Professional (CAP): Certification that validates an individual's expertise in data analytics processes, including the ability to model and interpret complex data. (Preferred) Machine Learning Certification: Certification demonstrating proficiency in machine learning techniques and applications, relevant for developing AI models. (Preferred) Certified Data Scientist (CDS): Certification that endorses skills in data science and its application in AI modeling, crucial for enhancing AI-driven customer service solutions. (Preferred) At least 18 years of age Legally authorized to work in the United States Travel : Travel Required (Yes/No): No DOT Regulated : DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No   Base Pay Range: $110,200 - $198,700 Corporate Bonus Target: 15% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most